title: Cake: a bioinformatics pipeline for the integrated analysis of somatic variants in cancer genomes.
abstract: We have developed Cake, a bioinformatics software pipeline that integrates four publicly available somatic variant-calling algorithms to identify single nucleotide variants with higher sensitivity and accuracy than any one algorithm alone. Cake can be run on a high-performance computer cluster or used as a stand-alone application. Availabilty: Cake is open-source and is available from http://cakesomatic.sourceforge.net/
authors.affiliation: Experimental Cancer Genetics, Wellcome Trust Sanger Institute, Hinxton, Cambridgeshire, UK.
authors.forename: Mamunur
authors.initials: M
authors.lastname: Rashid
authors.forename: Carla Daniela
authors.initials: CD
authors.lastname: Robles-Espinoza
authors.forename: Alistair G
authors.initials: AG
authors.lastname: Rust
authors.forename: David J
authors.initials: DJ
authors.lastname: Adams
mesh_terms: D000465:Algorithms; D001943:Breast Neoplasms / Q000235:genetics; D006528:Carcinoma, Hepatocellular / Q000235:genetics; D059472:Exome; D005260:Female; D014644:Genetic Variation; D016678:Genome; D023281:Genomics / Q000379:methods; D006801:Humans; D008113:Liver Neoplasms / Q000235:genetics; D009369:Neoplasms / Q000235:genetics*; D012984:Software